For novice mathematicians interested in mathematical modeling, programming languages such as Python and R are highly recommended due to their versatility and strong community support. Python, in particular, offers libraries like NumPy and SciPy that facilitate numerical computations, while R excels in statistical analysis. Many mathematicians and theoretical physicists tend to rely on specialized software like Mathematica, Maple, and Matlab for their work, as these programs provide extensive built-in functionalities for both analytical and numerical tasks. While some mathematicians do learn programming languages, the reliance on these established tools is common, as they simplify complex problem-solving and modeling processes.